Abstract

The paper discusses the modelling and control of the climate in a horticultural glasshouse system. A linear, reduced order, control model is obtained using identification and estimation techniques applied to a multivariable, nonlinear simulation model of the glasshouse microclimate. This control model is then used as the basis for the design of Proportional-Integral-Plus (PIP) control systems which regulate the levels of the major climate variables in the glasshouse. Finally, full multivariable extensions of this glasshouse control system design methodology are discussed and evaluated.